Implementing traceability with EQAS The risk management of ... meeting 2016/Thelen.pdfPpt0000007...

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Implementing traceability with EQAS The risk management of trueness Marc Thelen, SKML, Netherlands 10 th anniversary of CIRME meetings, 17-18 November 2016

Transcript of Implementing traceability with EQAS The risk management of ... meeting 2016/Thelen.pdfPpt0000007...

Page 1: Implementing traceability with EQAS The risk management of ... meeting 2016/Thelen.pdfPpt0000007 [Sola lettura] Author: Fede Created Date: 11/18/2016 4:28:02 PM ...

Implementing traceability

with EQAS

The risk management of trueness

Marc Thelen, SKML, Netherlands

10th anniversary of CIRME meetings, 17-18 November 2016

Page 2: Implementing traceability with EQAS The risk management of ... meeting 2016/Thelen.pdfPpt0000007 [Sola lettura] Author: Fede Created Date: 11/18/2016 4:28:02 PM ...

Risk management of trueness

1. ISO 15189:2012, 5.5.1.3Method validation, verification

– T=0; trueness and imprecision are fit for intended use

2. ISO 15189:2012, 5.6.2Internal QC

– Conditions as on T=0 are still true

– Or if not, still meet criteria of acceptance on t=0

3. ISO 15189:2012, 5.6.3External QC

– What can be wrong?

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Risk of new bias, with stable IQC

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Risk of new bias, with stable IQC

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Risk of new bias, with stable IQC

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False alarm

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Goals for perfect EQAS

• Materials as intended by ISO17043:

Commutable, homogenous, stable

– Material cannot be blamed

• Value assignment in reference labs using

refererence methods

– Value assignment cannot be blamed

• Smart reporting

– You know what to do

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SMART scoring of EQAS by SKML

• Specific:– Performance of lab, not of EQAS material

– Material and assigned values beyond discussion

– Support root cause analysis: method grouping

• Measurable:– Mathematical relation between statistical dispersion of results and

score

• Achievable:– if SA precision profile>Tea, then score in SA precision profile

• Realistic:– TEa based on EFLM performance goal criteria

• Time dependent– time weighed regression

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Dif

fere

nce

mm

ol/

l

mmol/l

Example SMART scoring by SKML

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10

Room for improvement?

Please, DO change appropriately

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How good is good enough?

• EFLM second strategic conference on analytical performance specifications (APS), Milan 2014

• TFG-PSEQA“Performance specifications for EQAS”

• Chair: Graham Jones

• Members:– Stéphanie Albarède – France

– Gabriela Gutiérrez - Spain

– Mauro Panteghini - Italy

– Marc Thelen - The Netherlands

– Anne Vegard Stavelin - Norway

– Annette Thomas - UK

– Pat Twomey - UK

– Emma Ventura - Spain

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Aim of the TGF-PSEQA

• Terms of Reference

– To define performance specifications for the most common measurands that should be used by EQAS organisers (for category I EQAS).

– This TFG will take into account the recommendation of the TFG-TE and TFG-DM.

• TFG-TE “Total error”

• TFG-DM “Allocation of laboratory tests to different models

for performance specifications”

• Deliverables

– A manuscript dealing with these recommendations.

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Manuscript so far:

6 factor terminology PSEQA

Requirements for documenting EQA

1.EQA material commutability;

2.the method used to assign the target value; – Reference laboratory

– Certified reference materials

– Formulated (weighed in)

– statistical

3.the data set to which APS are applied;– Single measurements of single sample

– Multiple measurements of single sample

– Multiple samples

4.the applicable analytical property being assessed – Total error

– Bias

– Imprecision

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6 factor terminology PSEQA (2)

5. the type of the Milan model(s) used to set the APS

– Outcome-based (Milan 1a)

– Based on clinical decision applications (Milan 1b)

– Derived from biological variation (Milan 2)

– State of the art, defined as the highest level of analytical

performance technically achievable in that moment (Milan 3).

6. the rationale for the selection of the APS

– Passable: everyone should theoretically pass

– Satisfactory: good performing laboratories should pass

– Favourable: no clinical benefit of further improvement

– Aspirational: aim to improve performance, educational.

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PSEQA requirements

• All aspects communicated to (potential)

participants

• For every measurand

• In every scheme

• Possibly multiple APS for single measurand:

– Intended use !

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Budget versus source

Total mu budgetAvailable mu budget for end-user

total mu budget smaller than mu

No mu budget available for end-user

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IVD regulation 2016 annex 1

17.3. Information in the instructions for use

17.3.1. The instructions for use shall contain the following particulars:

•…

•XIX: The metrological traceability of values assigned to calibrators and trueness-control materials, including identification of applicable applied reference materials and/or reference measurement procedures of higher order, and information regarding maximum (self-allowed) batch to batch variation provided with relevant figuresand units of measure

•NB: this text is result of succesful lobby work by our EFLM IVD WG for 5 years ☺

•Implementation required within 5 years

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How to divide the budget?

Task:

Formulate how to calculate and express the traceability and the uncertainty of value

assignment of a IVD product

Group:

ISO TC212 WG2, CEN TC140 IVD industry WG, EFLM WG accreditation and IVD

Task:

Discuss a better distribution of the total uncertainty budget between different steps in

chain

Group:

EFLM quality committee, WG accreditation and IVD

CEN TC140 IVD industry WG

laboratories IVD industry

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Conclusions

• Class 1 EQC should have– Commutable samples

– Value assignment in reference methods

– Reports based multiple sample evaluation

• Class 1 EQC is needed for– Participating laboratories: local mistakes

– IVD industry: success of standardisation and harmonisation

• EFLM TFG PSEQA– Transparency of EQA APS and rationale

– Harmonisation of EQA

• New IVD regulation– Opportunity for transparency on IVD product uncertainty

– Opportunity for redistribution of total uncertainty budget

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